Triple
T22738115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daugava Stadium (Liepāja) |
E562329
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Daugava |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Daugava | Statement: [Daugava Stadium (Liepāja), namedAfter, Daugava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daugava Context triple: [Daugava Stadium (Liepāja), namedAfter, Daugava]
-
A.
Daugava River
chosen
The Daugava River is a major Eastern European river flowing through Russia, Belarus, and Latvia before emptying into the Baltic Sea.
-
B.
Daugavgrīva
Daugavgrīva is a neighborhood in Riga, Latvia, situated at the mouth of the Daugava River and known for its historic coastal fortifications and maritime setting.
-
C.
Gauja
Gauja is the longest river entirely within Latvia, known for its scenic valley, sandstone cliffs, and the national park that bears its name.
-
D.
Dwina
Dwina is an Irish-born artist, writer, and Druid priestess best known as the widow of Bee Gees singer Robin Gibb.
-
E.
Neman River
The Neman River is a major river in Eastern Europe that flows through Belarus and Lithuania before emptying into the Baltic Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17971751081909253984429c8d178 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:22 p.m.